At MyFitnessPal, we believe good health starts with what you eat. We provide tools, resources and support to enable users to reach their health goals.

Our users rely on MyFitnessPal to power their health and fitness journeys every day. As a member of our MyFitnessPal Data Science team, you’ll have the opportunity to positively impact those users by creating the predictive models and AI that drives the MyFitnessPal ecosystem. In addition to technical expertise and passion, you’ll find that your teammates value collaboration, mentorship, and inclusive environments.

Essential Duties:

The Machine Learning Engineer will play a key role in designing and deploying models that improve advertising performance and enable smarter user segmentation. You will be responsible for the technical implementation of ML pipelines that support ad personalization, targeting strategies, and cohort experimentation. To thrive in this role, you’ll need to be comfortable working cross-functionally with marketing, product, and data stakeholders, using tools like Google Ad Manager (GAM) to define and evaluate user cohorts. You should be able to iterate quickly, make pragmatic decisions, and balance experimental rigor with product delivery. You know that success in this role requires strong communication, thoughtful experimentation, and a data-driven mindset.

This is an individual contributor role with strong mentorship expectations.

MyFitnessPal encourages innovation and adoption of the latest technologies available to deliver an amazing experience for our members. Our diverse team of brilliant technologists builds and maintains native mobile applications, a web application, the world’s largest nutrition database, constantly evolving data science and AI/ML assets, the backend infrastructure and data platform required to support these applications and databases, as well as the business systems and data required to manage an awesome company. Technologies, services and/or languages we work with: MySQL, Snowflake, Databricks, Elasticsearch, Python, SQL, Kubernetes, Docker, Scale.ai, AWS Ground Truth, Doccano.

If you are highly motivated, results-oriented, and thrive in a fast-paced and collaborative environment, please apply. We’re looking to add talent that can help further define the culture we’re creating: consumer-centric, curious, and always innovating.

What you’ll be doing: 

• Build and deploy machine learning models and data pipelines to power advertising personalization, user segmentation, and audience cohorting
• Leverage GAM and other ad tech tools to create and evaluate user cohorts for targeting and experimentation
• Partner with marketing, data science, product, and engineering teams to define metrics and evaluate model-driven campaigns
• Design experiments to measure model impact on advertising performance (e.g., CTR, CVR, revenue per user)
• Build pipelines and systems to support scalable cohort-based testing and ML deployment
• Optimize feature engineering, model training, and evaluation loops for advertising-related use cases
• Collaborate with stakeholders to identify opportunities for improving user targeting and increasing campaign ROI
• Ensure models meet high standards for performance, reliability, and reproducibility

Qualifications to be successful in this role: 

• Have 4–6+ years of machine learning experience, ideally within advertising, martech, or audience targeting domains
• Hold a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field—or equivalent experience
• Have hands-on experience with ad tech platforms such as Google Ad Manager (GAM), DV360, or similar tools
• Demonstrate the ability to build, test, and iterate on user segmentation strategies for marketing or advertising
• Are comfortable working with cross-functional teams to define user cohorts and evaluate their performance
• Are highly proficient in Python and SQL, with experience in data wrangling, model development, and experimentation frameworks
• Have experience building models in production environments, preferably supporting real-time or large-scale pipelines
• Understand causal inference, attribution modeling, or experimentation techniques like A/B testing and uplift modeling
• Communicate clearly across technical and non-technical audiences to a variety of stakeholders and enjoy working collaboratively on data products

The reasonably estimated salary for this role at MyFitnessPal ranges from $140,000 - $195,000. Actual compensation is based on factors such as the candidate’s skills, qualifications, and experience. In addition, MyFitnessPal offers a wide range of comprehensive and inclusive employee benefits for this role including healthcare, parental planning, mental health benefits, annual performance bonus, a 401(k) plan and match, responsible time off, monthly wellness and technology allowances, and others.

Exciting Full-Time Employee Benefits, Perks and Culture

Face-to-Face Connections: We value personal connections. Enjoy opportunities to meet and connect with your team members in person to help forge meaningful relationships that extend beyond the virtual realm. Teams meet as often as needed and all of MyFitnessPal gathers annually.

Flexibility At Its Best: Achieve the work-life balance you deserve. Enjoy a flexible time-off policy with our Responsible Time Off benefit. 

Give Back: Use  your volunteer days off to support what matters most to you. Each full time teammate receives 2 days per calendar year to give back to their community through service.

Mentorship Program: Take control of your career through our mentorship program where, if you’d like, you will be matched with a teammate who can help you scale your skills and propel your growth.

Family-Friendly Support: Embrace the journey with confidence and care. Enjoy our paid maternity and paternity leave, to provide time to balance family responsibilities with your career and take the time needed to strengthen family relationships.  We understand the complexities of starting or expanding a family, which is why we provide best-in-class comprehensive assistance for fertility-related matters. 

Wellness Comes First: Live Good Health is one of our core values. Receive a monthly Wellness Allowance, empowering you to focus on your physical and mental well-being by choosing from a range of wellness initiatives, including dedicated mental health days.

Celebrate Greatness: Your hard work deserves recognition! Our reward and recognition platform empowers peers to acknowledge and reward each other for the exceptional contributions they make. 

Elevate Your Health & Fitness: Get access to MyFitnessPal Premium, allowing you to take your fitness, health and wellness journey to new heights.

Unlock Your Potential: Access our virtual learning and development library, and participate in training opportunities  to continuously grow and enhance your skills. 

Championing Inclusion: Our dedicated DEI Committee actively fosters a diverse and inclusive workplace by setting actionable goals and evaluating progress across the organization.

Healthcare Matters: Your well-being is our priority. Take advantage of our competitive medical, dental, and vision benefits that cater to your holistic healthcare needs. Feel secure and supported on your wellness journey.

Secure Your Future: Benefit from our retirement savings program, giving you peace of mind for your financial goals. Reach them sooner with MyFitnessPal’s competitive employer match.

At MyFitnessPal, our mission is to enable people to make healthy choices. And it wouldn't be possible without our team. We celebrate the unique POV that each person brings to the table and believe in a collaborative and inclusive environment. As an equal opportunity employer, we prohibit any unlawful discrimination on the basis of race, religion, military or veteran status, sex, gender, marital status, gender identity or expression, sexual orientation, national origin, age, or disability. These are our guiding ideologies and apply across all aspects of employment.

MyFitnessPal participates in E-Verify.